Ferromagnetic properties of one-dimensional decamethylferrocenium tetracyanoethylenide (1:1): [Fe(n5-C5Me5)2].+[TCNE].-

Journal Article[Fe(C5Me5)2].+ [TCNE].-- has been characterized by magnetic susceptibility to possess dominant ferromagnetic interactions; its structure has been determined by X-ray crystallography

Quest for a polymeric ferromagnet: a new polymorph of 1,4-bis(2,2,6,6-tetramethyl-4-oxy-4-piperidyl-1-oxy)butadiyne (invited)

Journal ArticleA new polymorph of 1,4-bis(2,2,6,6-tetramethyl-4-oxy-4-piperidyl-l-oxy) butadiyne has been prepared and characterized by x-ray diffraction, infrared and Raman spectroscopies, and magnetic susceptibility. Unlike t h e Pccn-a phase, the B phase belongs to the Pca2y1 space group [a = 14.265(1) A(o),b = 8.079 (3) A(o), and c = 18.865(2) A(o), V = 2174.1 A(o) 3, Z = 4, T = - 100 °C, Ru = 4.8%, Rw = 5.0%) . The C=C, CC-CC, and NO distances are 1.201, 1.391, and 1.293 A., respectively. The only intermolecular interactions a r e 1.844-A(o)-OH... ON hydrogen bonding interactions

Formation of a zwitterionic donor-acceptor compound based on N,N,N',N'-tetramethly-p-phenylenediamine and 7,7,8,8-tetracyanoperfluoro-p-quinodimethane

Journal ArticleThe reaction of the donor N,N,N',N'- tetramethyl-p-phenylenediamine (TMPD) with the acceptor 7,7,8,8-tetracyanoperfluoro-p-quinodimethane (TCNQF4) has led to the isolation of a novel type of zwitterionic donor-acceptor compound whose structure has been determined by X-ray crystallography

Announcement from Publisher

No Abstract.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/64529/1/20362_ftp.pd

Magnetic Circular Dichroism of Cobalt-Copper and Zinc-Copper Bovine Superoxide Dismutase

Abstract The magnetic circular dichroism of the d-d transitions of Co(II) when substituted for Zn(II) in the Zn(II)-Cu(II) enzyme bovine superoxide dismutase enzyme is reported. Magnetic circular dichroism of the Co(II) chromophore in the Co(II)-Cu(II) enzyme is typical of tetrahedral Co(II) compounds. The magnetic circular dichroism band pattern is almost identical with the magnetic circular dichroism of the anion complexes of Co(II) carbonic anhydrase, implying similar coordination geometries in the two enzyme Co(II) complexes. The Cu(II) chromophore is only weakly induced by the magnetic field, with induced ellipticity an order of magnitude less than that of the Co(II) chromophore. Reduction of the Co(II)-Cu(II) protein causes minor, but significant, changes in the Co(II) site as measured by magnetic circular dichroism

Advancing the field through multiple media

No Abstract.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/69179/1/20376_ftp.pd

Integrative Assessment and Prediction Modeling for Injury Risk Mitigation in Division 1 Female Soccer Athletes: A Comprehensive Approach Utilizing Wearable Technology

There is a pressing need for effective injury prevention methods to mitigate time-loss injuries. This study aims to develop a predictive recovery model for Division 1 female soccer athletes by integrating physiological, biomechanical, and subjective wellbeing assessments. PURPOSE The growing popularity of women\u27s sports, particularly soccer, has brought the critical issue of injury risk management. While existing literature underscores the importance of maintaining an optimal acute to chronic workload ratio (ACWR) to mitigate injury risks, there remains a gap in understanding additional predictive metrics for athlete health. This deficit is pronounced in the context of women\u27s soccer, where research focusing on injury prevention strategies is scarce. METHODS Ethical clearance was obtained per Institutional Review Board under protocol 2113291-3. Training data from a cohort of 20 female Division 1 soccer athletes over one month, encompassing physiological (heart rate, training impulse (TRIMP), and recovery), biomechanical (total distance covered, distance covered based on percentages of top speed, accelerations, and decelerations), and subjective (rate of perceived exertion, stress, and soreness) metrics were collected. Correlation analysis was conducted to explore relationships between the various metrics and recovery score highlighted by a wearable device. Robust Machine Learning models, encompassing Random Forest was utilized to explore the predictive capabilities of significant metrics for predictive recovery. RESULTS A Random Forest prediction analysis was performed, revealing that TRIMP and distance exhibited highest importance with a value of 8727.121 and 5850.881 respectively. From the model, a graph of predicted recovery against actual recovery was created with an r-squared value of 0.912. CONCLUSIONS By integrating various metrics, including physiological, biomechanical, and subjective data, we gathered important metrics outlining athletes’ performance. Our findings highlight the significance of TRIMP and total distance in predicting athletes’ wellbeing and offer a framework for forecasting recovery. These insights can guide targeted interventions and informed coaching decisions to enhance athlete health and performance